Cargando…
A Sparse Dictionary Learning-Based Adaptive Patch Inpainting Method for Thick Clouds Removal from High-Spatial Resolution Remote Sensing Imagery
Cloud cover is inevitable in optical remote sensing (RS) imagery on account of the influence of observation conditions, which limits the availability of RS data. Therefore, it is of great significance to be able to reconstruct the cloud-contaminated ground information. This paper presents a sparse d...
Autores principales: | Meng, Fan, Yang, Xiaomei, Zhou, Chenghu, Li, Zhi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621354/ https://www.ncbi.nlm.nih.gov/pubmed/28914787 http://dx.doi.org/10.3390/s17092130 |
Ejemplares similares
-
Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation
por: Liu, Hongshan, et al.
Publicado: (2021) -
Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization
por: Huang, Wei, et al.
Publicado: (2015) -
Mask removal : Face inpainting via attributes
por: Jiang, Yefan, et al.
Publicado: (2022) -
Classification of Clouds in Satellite Imagery Using Adaptive Fuzzy Sparse Representation
por: Jin, Wei, et al.
Publicado: (2016) -
Accelerating 3D single-molecule localization microscopy using blind sparse inpainting
por: Gaire, Sunil Kumar, et al.
Publicado: (2021)